Utilizing Expert Features for Contrastive Learning of Time-Series Representations. - Manuel T. Nonnenmacher; Lukas Oldenburg; Ingo Steinwart; David Reeb (ICML, 2022)

A General-Purpose Self-Supervised Model for Computational Pathology. - Richard J. Chen; Tong Ding; Ming Y. Lu; Drew F. K. Williamson; Guillaume Jaume; Bowen Chen; Andrew Zhang; Daniel Shao; Andrew H. Song; Muhammad Shaban; Mane Williams; Anurag Vaidya; et al. (CoRR, 2023)

Transcriptomics-Guided Slide Representation Learning in Computational Pathology. - Guillaume Jaume; Lukas Oldenburg; Anurag Vaidya; Richard J. Chen; Drew F. K. Williamson; Thomas Peeters; Andrew H. Song; Faisal Mahmood 001 (CVPR, 2024)